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Top 3 Medical Imaging Insights from RSNA 2023

Everything Rad

This year’s annual Radiological Society of North America (RSNA) conference came at what felt like a pivotal moment in the medical imaging world. Yet medical imaging teams still face significant changes and pressures. Cross-training also needs to be more prominent in medical imaging staffing strategies.

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Giving patients access to their medical imaging could improve health literacy

Health Imaging

However, medical image sharing could also produce an influx of questions from patients who have concerns about what they're looking at, authors of a new paper suggest.

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Are ‘super phantoms’ key to advancing medical imaging?

AuntMinnie

Developing and testing a new class of “super phantoms” is needed to optimize new medical imaging techniques before they are used in human studies, according to an article published May 24 in Communications Engineering. Phantoms are test objects used for initial testing and optimization of medical imaging techniques.

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New AI Method Captures Uncertainty in Medical Images

MedImaging General Imaging

Researchers have developed a new AI tool to capture the uncertainty in medical images that can significantly influence clinical decision-making.

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Maximize Your Radiology Center’s Performance With Specialized Scheduling

In this guide, we’ll take you through a step-by-step process to transform your radiology center into a high-performance hub of medical imaging. Patient-centric scheduling can only be achieved through optimized radiology workflows, effective communications between staff and physicians, and, of course, through specialized schedulers.

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Southwest Medical Imaging marks 3 weeks since canceling contract with UnitedHealthcare

Radiology Business

The Scottsdale, Arizona, radiology group believes that UHC's contract proposals "don’t recognize the escalating costs of continuing to provide safe and high-quality medical imaging."

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New AI method captures uncertainty in medical images

Medical Xpress: Radiology

In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. Artificial intelligence models can help clinicians by highlighting pixels that may show signs of a certain disease or anomaly.